The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

May. 06, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Meng Meng, San Jose, CA (US);

Daniel Sairom Krishnan Hewlett, Sunnyvale, CA (US);

Sriram Vasudevan, Mountain View, CA (US);

Vitaly Abdrashitov, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 16/955 (2019.01); G06F 18/2113 (2023.01); H04L 67/02 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 16/955 (2019.01); G06F 18/2113 (2023.01); H04L 67/02 (2013.01);
Abstract

Techniques for incorporating sequence encoders into machine-learned models where the sequence encoders operate on bag of words (BOW) input are provided. Tokens that are associated with online activities of an entity are identified. Machine-learned embeddings that correspond to the tokens are identified. Based on one or more ordering criteria that are independent of the temporal occurrence of the online activities of the entity, an order of the machine-learned embeddings is determined. Based on the order, the machine-learned embeddings are inputted to a sequence encoder that generates output. Based on the output, a machine learned model that includes the sequence encoder generates a score. A content item is selected based on the score. The content item is transmitted over a computer network to a computing device.


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